Artificial Intelligence & Machine Learning

To provide a comprehensive understanding of Artificial Intelligence (AI) concepts, algorithms, and applications, enabling learners to design intelligent systems that can simulate human-like decision making, perception, and behavior. This course includes hands-on experience with machine learning, deep learning, natural language processing, and AI deployment strategies.

To equip learners with core machine learning theory and implementation skills, from data preprocessing and algorithm selection to model tuning and deployment. Ideal for professionals who want to build, evaluate, and scale machine learning solutions in real-world scenarios.

Key Features

• ✅ Hands-on Python coding for AI models

• ✅ Real-time projects in computer vision, NLP, and intelligent agents

• ✅ Use of frameworks like TensorFlow, Keras, OpenCV, and NLTK

• ✅ Covers theory + applied use-cases (healthcare, finance, chatbots, etc.)

• ✅ AI Ethics, Bias, Fairness, and Explainability included

• ✅ GitHub-ready project portfolio + certification

• ✅ Capstone Project + Resume + Interview Prep

Who Should Enroll?

• Graduates in Computer Science, Engineering, Math, or related fields

• Developers and Data Scientists looking to pivot into AI

• Working professionals exploring AI/ML product development

• Researchers and students interested in AI fundamentals and deployment